Stochastic Programming
Book information
Description
Stochastic programming - the science that provides us with tools to design and control stochastic systems with the aid of mathematical programming techniques - lies at the intersection of statistics and mathematical programming. The book StochasticProgramming is a comprehensive introduction to the field and its basic mathematical tools. While the mathematics is of a high level, the developed models offer powerful applications, as revealed by the large number of examples presented. The material ranges form basic linear programming to algorithmic solutions of sophisticated systems problems and applications in water resources and power systems, shipbuilding, inventory control, etc. Audience: Students and researchers who need to solve practical and theoretical problems in operations research, mathematics, statistics, engineering, economics, insurance, finance, biology and environmental protection.
Similar books
Modelling in Mathematical Programming: Methodology and Techniques
2021 · PDF
The Emergence Paradigm in Quality Management: A Way Towards Radical Innovation
2021 · PDF
Advances in Engineering Networks: Proceedings of the 12th International Conference on Industrial Engineering and Industrial Management
2020 · PDF
Beschaffungsplanung und Budgetierung
1980 · PDF
SOC Functions and Their Applications
2019 · PDF
Operations Research: Eine (möglichst) natürlichsprachige und detaillierte Einführung in Modelle und Verfahren
2020 · PDF
Applications of Operations Research and Management Science for Military Decision Making
2019 · PDF
Nonlinear Optimization : Methods and Applications
2019 · PDF